{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "526346b6",
   "metadata": {},
   "source": [
    "渐变柱形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "37888862",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "file_path = r'D:\\Users\\方睿隆\\Desktop\\《Excel数据可视化 - 从图表到数据大屏》-清华-郭宏远\\第二章 图表(前15).xlsx'\n",
    "sheet_name = '1 渐变柱形图'  # Excel表格名称\n",
    "\n",
    "df = pd.read_excel(file_path, sheet_name=sheet_name, skiprows=1)\n",
    "\n",
    "categories = df.iloc[:, 1]\n",
    "values = df.iloc[:, 2]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "# 为每个柱子从下往上渐变\n",
    "for i in range(len(values)):\n",
    "    # 定义每个柱子的底部和顶部位置\n",
    "    bottom = 0\n",
    "    height = values[i]\n",
    "    \n",
    "    # 创建渐变颜色：从浅蓝到深蓝，减少层数为50层\n",
    "    gradient = np.array([plt.cm.Blues(j) for j in np.linspace(0.3, 1, 50)])  # 渐变色\n",
    "    # 设置每个柱子的渐变颜色\n",
    "    for j in range(50):\n",
    "        ax.bar(categories[i], height/50, color=gradient[j], bottom=bottom)\n",
    "        bottom += height / 50\n",
    "    \n",
    "    # 在每个柱子上绘制数字\n",
    "    ax.text(\n",
    "        categories[i],   # x坐标 (使用分类作为横坐标)\n",
    "        height + 50,     # y坐标，略高于柱子顶部\n",
    "        str(height),     # 显示的文本\n",
    "        ha='center',     # 水平居中\n",
    "        va='bottom',     # 竖直对齐到底部\n",
    "    )\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "ax.set_ylim(0, max(values) * 1.1)\n",
    "\n",
    "plt.title('各地区销售量柱形图')\n",
    "plt.xlabel('区域')\n",
    "plt.ylabel('销售量')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0c6c72a4",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# 数据\n",
    "regions = ['华北', '华南', '东北', '西北', '西南', '华东']\n",
    "values = [2354, 1902, 3524, 2698, 2896, 2563]\n",
    "\n",
    "# 创建 DataFrame\n",
    "data = pd.DataFrame({\n",
    "    '区域': regions,\n",
    "    '销售量': values\n",
    "})\n",
    "\n",
    "# 设置 Seaborn 风格\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "# 创建柱形图\n",
    "plt.figure(figsize=(10, 8))\n",
    "\n",
    "# 设置柱子的宽度\n",
    "bar_width = 0.55  # 可以调整这个值，例如 0.3 或 0.2 使柱子更细\n",
    "\n",
    "# 创建柱形图时设置宽度\n",
    "bar_plot = sns.barplot(x='区域', y='销售量', data=data, palette='Blues', width=bar_width)\n",
    "\n",
    "# 添加渐变效果\n",
    "for bar in bar_plot.patches:\n",
    "    bar.set_color(plt.cm.Blues(bar.get_height() / max(values)))\n",
    "\n",
    "# 中文字体设置\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 添加标题和标签\n",
    "plt.title('各地区销售量柱形图')\n",
    "plt.xlabel('区域')\n",
    "plt.ylabel('销售量')\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f37e61c3",
   "metadata": {},
   "source": [
    "带均值柱形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "ce893543",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 数据\n",
    "categories = ['华北', '华南', '东北', '西北', '西南', '华东']\n",
    "sales = [2354, 1902, 3524, 2698, 2896, 2563]\n",
    "mean_value = 2656  # 均值\n",
    "\n",
    "# 绘图\n",
    "plt.figure(figsize=(10, 6))\n",
    "bars = plt.bar(categories, sales, color='blue')  # 蓝色柱形\n",
    "\n",
    "# 添加均值线\n",
    "plt.axhline(mean_value, color='red', linestyle='--', label='均值')  # 红色均值线\n",
    "\n",
    "# 在均值线左侧标出均值\n",
    "plt.text(-0.5, mean_value + 50, f'均值: {mean_value}', color='red', fontsize=12)\n",
    "\n",
    "# 在每个柱形顶部显示值\n",
    "for bar in bars:\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width() / 2, yval + 50, yval, ha='center', va='bottom')\n",
    "\n",
    "# 添加标签\n",
    "plt.title('区域销售量及均值柱形图', fontsize=16)\n",
    "plt.xlabel('区域', fontsize=12)\n",
    "plt.ylabel('销售量', fontsize=12)\n",
    "plt.legend()\n",
    "\n",
    "# 显示柱形图\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9468feb",
   "metadata": {},
   "source": [
    "渐变圆角柱形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "cafc325c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cGjBggCTp0KFDat26tc6fP6/PP//cafQnKytL2dnZ5vPcVfRyR92qVq2qNWvW6I477tCKFSv0wgsvaPr06U7n8/XXX5v7NG/eXH379lWVKlV033335Tn3glYOlHKmJ3br1s18vmHDBp09e1ZSznunZs2amjp1ar7HKGj6peQ8ktW+fXsZhqHs7GxNnTpVfn5+at++vdLT09WgQQNzOuALL7yQ5zgXL3ves2dPrVixQqGhoXn6BgUFqVmzZnrsscf00EMPqXLlyho8eLCWLl2qI0eOaMaMGSwrDqD0cXVqA4CrSfXq1Y1mzZo5bXvrrbeMGjVqGGvXrjUMwzB69+5tBAcHGzNnzjT7DBw40JBkHD58uETrjY6ONiQZn332WZ62Tp06GVWqVMl3v8zMTEOS8cQTT+Tbvn79+r810lamTJlC1d2pUyfL42zdutUICAgwBg4caBiGYaxYscIclblQamqq0b9/f+O1117L8xp+fn5GWFiY+XzTpk2GJOPJJ5906vf7778bLVq0MI4ePZrnGHXq1DHc3NyMcuXKGffcc49Rs2ZN4/z588bBgweNEydOGK1atTICAgKMPXv2GKdPnzZOnz5tPPbYY0ZoaKhx8OBB4/jx48b+/fuNxMREp+P27t3bcHNzMyQZHTt2NNzd3Y0//vjD2Lt3r3H8+HFj+PDhhiRjyZIl5nEnTpxouLu7Gz///LNx4sQJ4/Dhw8apU6fy1Lx06VJDkhESEmIYRs6olmEYxqRJk8zR0Pj4eCM+Pt745ptvzBGg+Ph448477zTq169vHD582Gnk7MKRpgudOHHCeOONNwxvb29DkuHv72+88847xrFjx5z6MdIEwNW4ohIAitHIkSP1zjvvKDw8XLfddpuknEUCwsPD1bNnT7Vv394cMchPixYtZLPZCnz8/vvvknK+2bfq9/LLLzsdNzU1VXa73em6n4yMDCUlJZmLOLi7u+v06dOKiIjI87jrrrskFbzYQu6Ix8CBA7V//36nR1BQkDp16pRne7NmzSxHW3KlpKTolVde0eDBgxUVFaUpU6aoevXqaty4sT7++GONHTtWVatWVVZWVp6l0i/m6+urcePGacSIEUpKSlJmZqZ5Tc5rr72mF1980exbqVIlDRs2LM+y4PXq1dPq1atVuXJlp+0//fSTdu/erdatW0vKub/Wvn37NHv2bFWrVk0rV67UqlWr9Prrr+v666/XmTNnzGuV7Ha7hg0bpuuuu041atQwrzOTcm5qO2fOHPO4L774ory9vTVkyBDVrFlT586d0wcffKBWrVqpY8eOOnPmjLKzs9W7d2/deeed6tevn7y8vFS1atV87400d+5c879ffvlltWnTRtL/X1NXpUoVLVu2TAsXLtS6desk5ayyt3TpUp05c0aGYahq1aoF3idsz549mjp1qrp166YaNWooKipKr7zyimJjY9WlSxcNHz5cVatW1d13360333xTq1evtvwdAkBJYHoeABSD1NRUPf/885o9e7Yef/xxff755+bKX9WrV9fKlSv10UcfaeDAgXr55ZcLXHzA29tb/v7+eVYRi46O1i+//KLg4GCzn6Q84chut2vy5Ml5bq76xBNPaNGiRebzXr16mTeDHTZsmN5++23zuPfee2+eugzD0ObNmws8/9ypgQ6Hw5zWdfH+F283DOOSISc2Nla9evXSsmXLNGrUKHP71KlTVaNGDfXt29d83Yun+FlZv359vlPmpJzgV5Dq1atrx44dCgwMzNM2btw43XbbbWrUqJF+/fVXPfjgg2rRooXq1KmjFStW6Nlnn9Vtt92mgQMH6qefflLr1q21bNkyPfTQQ1qwYIFat26tlJQUffrpp073pJo2bZoyMjL0+OOPa8WKFapQoYJ69+6typUr68CBA2rdurU8PDw0ZcoUZWZm6qabblL//v01btw4LViwQM2aNVPz5s21dOlS1apVy6nmgwcPOt1HrGzZslq1apXWrl2rkydPys3NTWXKlNGoUaOcVs8bMWKE08/Eyvz58/Xmm28qNDRUL7/8svr06aMnn3xSHh4eeueddzRs2DBNnjxZs2fP1vr167Vw4ULL4wFASSA0AUAxOHHihE6ePKm3335bb7/9tr744os8fe677z5t2LBBt956a4E3L/X09FS5cuXy3OsoKipKv/zyi/ltfu61Qxf3O3/+vCZPnpzn2qLHH39c99xzj06dOmVe09SkSROlp6c7XdcTEBDgdLPTXFlZWQXeoym3XZLGjx+v8ePH52lftmyZli1blmf7xaM1F1uyZIm2bNmi1atX69///nee9vj4eH3//fdq3bq1DMMocAnzi9WsWVMffPCBypQpo08//VTbt2/Xm2++qWrVquXpe+TIEb3zzjvy9vbWggUL8g1MW7Zs0fLlyzVz5kzFxcWZ21euXKmoqCgNHjxYNptN/fr10549e3T69GlJOTfUjY2Nlb+/vyZNmqTIyEg1atRIY8aMUZcuXZScnKwxY8aoe/fuZmCWcgLa999/r/DwcHNFveTkZO3bt0/u7u5KSUlRXFycGaIjIyN18803a9iwYXrxxRfNUD1ixAhlZ2frxhtvVEJCgp577jmNHDlS7733nkJCQhQSEiKbzaZNmzbJ29tbGzZsUMuWLbV+/XrzJseXWvFu0KBBuueee3TXXXfJZrOZK04OHz5c7777ru6//35NmTJFo0aN0s6dO3Xrrbdq5syZhfo9AkBxITQBQDGoWbOmvv/+e0nS6NGj1bJlS6eQcfPNN8vX11fh4eGWx7nUfWm8vLwK1e/iRSFyb6i7Y8cOjRgxQvfee6969uyZZz+Hw6ETJ07k2X7hAgn5yb1h7MCBA52muElS48aNdc899+QJU926dctzf5+LffHFF6pYsaJ5I+Fz587p119/1cmTJxUXF6eKFSsqOzvbvEFrfgsR5KdatWoaNGiQpJx7EN1222366quvtGHDBqfl3RMTE82piZ999pmaNm2a7/HeffddhYaGqkePHnrzzTfN7f3799dHH32k22+/Xa+++qq6desmX19fc5rkgAED5O7urvT0dA0bNkxbtmzRE088oUOHDkmSpkyZolOnTum1117TgQMHzOMuXrxYXbp0UZUqVbRixQr17NlT06dPl4eHh7KzszV79mx99dVXstvtuueee7Rlyxa9+OKL2rRpk/r37y8p515Jn376qe6//35VrFhRP//8s6pVq6ZPPvlEnTt3VuvWrXXzzTfr6NGj5rS8xMREvfzyy4qLi9Phw4cl5bwXH3300QJ/1t7e3rr77rsl5Xy5EBgYqF9++UW//faboqKitH79elWtWlVubm6Wi1gAQEkiNAFAMfP19VVAQIDq1q1rbrPZbAXej+lChb1PTVHdzyY1NdXpWpTjx4/r+uuvv+zj5IamDz/8UB9++GGe9qVLl2rp0qV5tltNp1u3bp3++OMP9evXT88++6x+/fVX/fXXX2Z7pUqV9Mwzz+jBBx/Unj17JEk33HDDZdceGhqq5cuX6/7771erVq20ZMkSVa1aVSdPntTDDz+sXbt26ZNPPnFaze5i77//vjZv3pxnhG/s2LG6/fbb1bVrV7m5uZnXCW3atEm33367Fi1apBYtWjjts2XLFjMUP/fcc0pJSVHdunWdQtPDDz+sr776Si1btlRAQIDTDWp9fHw0YMAApyl0Us59oRwOh9zc3JSRkaEnn3xSDodDr7/+utMqgH369NGxY8f022+/qW3bttq5c6e6d+9e4Ln7+vpahqYLDRkyRDNnzlTTpk3VqVMnvfHGG6pRo8Ylp2kCQEnjrxIAFLPcpaovlhssrFwqDKWnp8vX17dIQtOUKVO0YcMGzZo1y9xWuXJlc7GJC2VlZeW7iECuChUqKDY2Vj4+PnlqK2ikKfcGu2fOnFGFChXyHHPChAmSpKefflqjR49Wenq6BgwYoAceeECvvfaa6tSpo3fffVdSznU/5cqVU7169Qr/A7hAeHi4Vq5cqXbt2qlx48Z6++23NWrUKJ06dUrTp0/Pc43ZxerVq5fva3t5eenee+9VdHS0fHx8zBHA3JvRHj582LzprMPhMJc3v/nmmyXlXGP01ltv5fuabdu2VUxMjPz8/JxCh2EYOnv2rHnc3OvJUlJSzJHO+Ph4nThxQm3btlWLFi3yLJ0+f/58SVKrVq3Mbd999505YpSre/fu5ijUhfK7rk2Snn32WYWEhGjRokUaPHiwBg8erPDwcM2YMUMNGzbM0/9SI5wAUFwITQBQzNLT0/Xll1/qyy+/dNqeu0qdFYfDoYSEBPXr189pe3R0tHns3H6S8vTLDWy57fkdX5ImT56szZs3q3r16kpLSzOvcbHZbPles5P7ugXp0KGD9u7dW2B7QSNNkjRp0iQ9//zzTtv++usvLVmyRLfffrsaNGigCRMmKCgoyByBuTBIpKamavHixbr//vsvOW3Ryp133qkpU6aoW7du5gITH3300SUD08UuXKFQyplKN2DAAHl7e8vHx0dubm5mOBo4cKA55TI3RNatW1fbt2+/5HH379+vO++8U97e3vL19TUDWUZGhmbPnq0lS5ZI+v9FMtLS0nTmzBkFBgYqJCREn3zyidNoaC673a6xY8eqVq1auueee8x7kPn6+jotUCHlTAPNrf9CBYWm3NUYR44cqa1bt+rTTz/V5s2bCxwhLOg4AFDcCE0AUITyCyf5jdRIcpoGl5SUVODxkpOTzVGWi+UGr9zXLahfQR82c1dA27x5s+666y4tWrTIDExW3+onJCQU2CblLNgQEBCg66+/Ps+H6AoVKqhNmzZ5FsfIzMxUampqvlOzhg8fLofDoT59+kiS042BJedRu+nTpyshIUGPPfaYuS33XC71ofvcuXPatm2bfv75Zy1fvly7du1SaGioOnfurC+++EKRkZGaMGGC7r//foWHh6tu3bqqU6eOKlSoUOBoX0ZGhtPr9u3b1wxhuTZu3Kg77rhD8+fPV8uWLS1rvPicc49dv359M3xdyNvbWy+//LLee+89y+M9/PDD5n9nZ2eboWzChAk6duyYPv30U7m7u5s/y5UrVzpNEZRybhZ8cZiT/v+GwJMmTXK6Ruxi1atXV/Xq1fMsaJIbGvM7PwAoCYQmAChC+U25y+/beynnA2Dfvn118uRJff311/Lx8ckTBjIzM1WlShUdOXLEaXtUVJT69+9vhqbcD5MXf2A9f/68goKCChwZWrt2raSckaGFCxc6XWeV3wfUlJQUPf7449q6daskOa3gJkl//vmnTp8+LT8/P6WlpWnfvn15jpGdna3ExERzutjF7Ha70tLSVLt2bVWoUEFZWVnau3evKleuXOB1RHa7XRkZGTp37pzeffddVatWzel+Srm/l4t/DqdOndIbb7yhI0eOKDY21lzMwN3dXffff79eeeUVdevWTV5eXnrnnXf0+eef67PPPtPUqVM1depU8zju7u7q2LGjvvrqqzzhKbc2K7l1FTSVs6BzvvDc8mMYhjIyMi7ruFLO7z4zM1M7duzQm2++qYiICHOhkNxa33///Xz3DQgIyLMtN9hZrbhYGIw0AXAVQhMAFKFLTVu7kKenpxITE7Vo0SI1adJEw4cPz3M/pYI+EPv6+qp8+fLmh8iC+pUtW1Zbt27Vddddl2/76NGjdf78eX3++ed5FqZISUnJ079MmTLy8vLSsWPHFB4ermeffdapfezYsZo1a5a8vb3zLIKQy93dXb/++qu5Ct3F7Ha77Ha75s6dqy5dusjDw0MbNmzQ7t27Czym3W5XcnKyypUrpxdffFFhYWFOI1ypqalmvwtdd911Sk5O1g8//KCbbrpJbdq0UYsWLdSiRYs8gbBcuXJ66aWX9NJLL+ngwYNavXq11q1bp5iYGO3Zs0djx47Nd7TJy8tL5cqVU3Z2dp5VDC+sX7q894/NZnN6DxTVcaWc331aWpq2bNmiG2+8UV988YV5bt7e3qpfv74+++yzPKs/durUSStXrsxzvNwa9+/frxo1alxWLZI0c+ZM9erVi5EmAC5jM/IbRwcAlIijR4/K19c3zwf00uzYsWPy9fW1nGZV2tjtdiUlJalcuXJ5gldCQoI8PDwKfSNcXL5jx47p3LlzqlOnToHBFwBKM0ITAAAAAFj4+8sKAQAAAMA1gNAEAAAAABauuYUgHA6Hjh07prJlyxbJzSABAAAAXJkMw1BSUpIqV65seW+/ay40HTt2TKGhoa4uAwAAAEApcfjwYVWtWrXA9msuNJUtW1ZSzg8mv3tJAAAAALg2JCYmKjQ01MwIBbnmQlPulLyAgABCEwAAAIBLXrbDQhAAAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAFxDZs+erWrVqsnf318tWrTQgQMHJEmRkZGy2Wzmo3bt2nn2HTx4sDp06FDCFQOA6xGaAAC4Ruzdu1dDhgzR0qVLFRsbq+rVq6tnz56SpO3bt+vbb79VfHy84uPjFR0d7bRvTEyMJk6cqKioqJIvHABczMPVBQAAgJIRHR2tiIgINW7cWJLUq1cvPfroo8rKylJMTIyaN28uf3//PPsZhqHevXurX79+qlWrVkmXDQAux0gTAADXiHr16mnNmjWKjo5WQkKCPvnkE7Vs2VK//fabDMPQLbfcIl9fX7Vp00aHDh0y95s2bZp27NihsLAwLV++XJmZmS48CwAoeYQmAACuEfXq1dMjjzyixo0bKzAwUJs3b9bYsWMVFxen+vXra+7cuYqNjZWnp6d69+4tSUpOTtbQoUN1ww036MiRIxo3bpyaN2+u9PR0F58NAJQcm2EYhquLKEmJiYkqV66cEhISFBAQ4OpyAAAoMZs2bVKXLl20ZMkS1atXT6NGjdKqVau0ZcsW2Ww2s9/BgwdVs2ZNxcfHa+nSperTp48OHz6s4OBgZWVlqWHDhurfv7+ee+45F54NAPxzhc0GjDQBAHCNmD9/vrp166amTZvK399fI0aM0L59+7Rz506nfoGBgXI4HDp+/LiOHDmiZs2aKTg4WJLk4eGhRo0aaf/+/a44BQBwCUITAADXiKysLJ08edJ8npSUpJSUFPXv318LFiwwt2/dulVubm4KDQ1VaGio0tLSnI5z8OBBVa9evcTqBgBXY/U8AACuEXfeeaeeeuopjR8/XiEhIZo+fbpCQkLUs2dPDRkyRJUqVVJWVpYiIyPVs2dP+fn5qV27doqMjNTkyZPVvn17LV68WDt27FCbNm1cfToAUGIITQAAXCO6du2q3bt3KyoqSsePH1eDBg20ePFiNWnSRH/88Yc6duyosmXLqnPnzho5cqQkKTg4WCtXrtTAgQM1YMAAVapUSfPmzVONGjVcezIAUIJYCAIAAADANYmFIAAAAACgCBCaAAAAAMACoQkAAAAALBCaAAAAAMACq+cBAABJkmEYis9IU2pWhvw8vBTk5SubzebqsgDA5QhNAABc4xIz0rXowG+a9edWHUo5b26vViZQT9wYri41GinAy8d1BQKAi7HkOAAA17Bfju9V318XKS0rU5J04YeC3DEmXw9PfXJHFzW/vlaJ1wcAxYklxwEAgKVfju/V0+vmKy0rU4acA5P+99yQlJaVqafXzdcvx/eWfJEAUAoQmgAAuAYlZqSr76+LZBhGnrB0MUM51zv1/XWREjPSS6I8AChVCE0AAFyDFh34zRxhKozcEafFB3YVZ1kAUCoRmgAAuMYYhqFZf279W/t+/ucWXWOXQwMAoQkAgGtNfEaaDqWcL/QoUy5D0qGU8zqfkVYcZQFAqUVoAgDgGpOalfGP9k/5h/sDwJWG0AQAwDXGz8PrH+1f5h/uDwBXGkITAADXmCAvX1UrE2jeh6mwbMq54W2gl29xlAUApRahCQCAa4zNZtMTN4b/rX2fvLGpbLbLjVsAcGUjNAEAcA3qUqORfD08Cz3a5CabfD089XCNhsVaFwCURoQmAACuQQFePvrkji6y2WyXDE62//2fiXc+ogAvnxKoDgBKF0ITAADXqObX19KMu7vK18OzwD42Sb4envq0eTfdXalmyRUHAKWIh6sLAAAArtP8+lra0OElzd6zXeNifnZqq+IXoKfqRKhLjYYqywgTgGsYI00AAFzjArx81K3WLXm2L27RSz1vDCcwAbjmEZoAAEC+WCUPAHIQmgAAAADAAqEJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAAAUiZkzZ8pms+V5zJw5U7Nnz1a1atXk7++vFi1a6MCBA+Z+kZGRTv1r167tupPIB6EJAAAAQJHo0aOH4uPjzcfhw4dVoUIF3X333RoyZIiWLl2q2NhYVa9eXT179jT32759u7799ltzv+joaNedRD48XF0AAAAAgKuDl5eXvLy8zOcTJ07Uww8/rOjoaEVERKhx48aSpF69eunRRx+VJGVlZSkmJkbNmzeXv7+/S+q+FEaaAAAAABS59PR0TZgwQa+//rrq1aunNWvWKDo6WgkJCfrkk0/UsmVLSdJvv/0mwzB0yy23yNfXV23atNGhQ4dcXL0zQhMAAACAIjdnzhxFRESoRo0aqlevnh555BE1btxYgYGB2rx5s8aOHStJiouLU/369TV37lzFxsbK09NTvXv3dnH1zghNAAAAAIrc5MmT9fzzz0uSNm3apG+++UabN29WUlKSunfvrgcffFCGYeixxx7Tpk2bFB4errCwMH388cdatWqVEhMTXXwG/4/QBAAAAKBI/fXXX/rrr7/UokULSdL8+fPVrVs3NW3aVP7+/hoxYoT27dunnTt35tk3MDBQDodDx48fL+myC0RoAgAAAFCkFixYoPbt28vT01NSzmIPJ0+eNNuTkpKUkpKi7OxsDRgwQAsWLDDbtm7dKjc3N4WGhpZ43QVh9TwAAAAARWrlypXq1auX+fzOO+/UU089pfHjxyskJETTp09XSEiIGjVqpN9//11DhgxRpUqVlJWVpcjISPXs2VN+fn4uPANnhCYAAAAARSYtLU2bN2/W1KlTzW1du3bV7t27FRUVpePHj6tBgwZavHixPD099cQTTyguLk4dO3ZU2bJl1blzZ40cOdKFZ5CXzTAMw9VFlKTExESVK1dOCQkJCggIcHU5AACUCmfTU9R0WZTTti0d+6m8TxnXFAQAJaCw2cCl1zTNnj1b1apVk7+/v1q0aKEDBw5IkmJiYhQeHq6goCANGjRIF+Y6qzYAAAAAKGouC0179+7VkCFDtHTpUsXGxqp69erq2bOn7Ha7OnTooCZNmmjbtm2KjY3VzJkzJcmyDQAAAACKg8tCU3R0tCIiItS4cWNVq1ZNvXr10p9//qkVK1YoISFB48aNU61atTRy5EjNmDFDkizbAAAAAKA4uGwhiHr16mnNmjWKjo5WzZo19cknn6hly5bauXOnIiIizNUyGjVqpNjYWEmybCuI3W6X3W43n5emm2QBAAAAKP1cNtJUr149PfLII2rcuLECAwO1efNmjR07VomJiQoLCzP72Ww2ubu7Kz4+3rKtIKNGjVK5cuXMR2la7x0AAABA6eey0LRp0yZ988032rx5s5KSktS9e3c9+OCD8vDwkLe3t1NfHx8fpaamWrYV5PXXX1dCQoL5OHz4cLGcDwAAAABrhmHIcJyTkXUk53+vkEXdXBaa5s+fr27duqlp06by9/fXiBEjtG/fPgUHB+v06dNOfZOSkuTl5WXZVhBvb28FBAQ4PQAAAACUHMORKCPlcxlnWso4FSHjzP3/+9+WOdsdpfsSGpeFpqysLJ08edJ8npSUpJSUFHl4eGjTpk3m9gMHDshutys4OFjh4eEFtgEAAAAofQz7Ohmnm8tIGillXzTrK/uwjKSROe32da4psBBcFpruvPNOLV68WOPHj9ecOXPUqVMnhYSE6KWXXlJCQoJmzZolSRo9erRatGghd3d3NW/evMA2AAAAAKWLYV8nI/5ZyUiTZPzv4dQj52GkyYh/ttQGJ5etnte1a1ft3r1bUVFROn78uBo0aKDFixfL09NTU6dOVY8ePTRo0CBlZ2dr7dq1OcV6eBTYBgAAAKD0MByJMs5HKv+wlKd3zv89HylV/EU2t9J1SY3NKKVXXx09elTbtm3THXfcoYoVKxa67VISExNVrlw5JSQkcH0TAAD/czY9RU2XRTlt29Kxn8r7lHFNQQCueEbK5zlT8i4ZmC5kk63sENnKPFFcZTkpbDZw2UjTpVSpUkVVqlS57DYAAAAArmUYhozU2X9v39RZkt+/ZbPZiriqv89l1zQBAAAAuEoZ8VL2IV3eKJNy+mcfkozzxVDU30doAgAAAFC0HAXfR7Vw+6cUTR1FhNAEAAAAoGi5+f3D/UvX9ZSEJgAAAABFyxYkuVeTdLnXJdly9rMFFkNRfx+hCQAAAECRstlssvn9++/t6/dEqVoEQiI0AQAAACgOvp0lm68KP9rkltPft1MxFvX3EJoAAAAAFDmbW4BsgR8pJzRdKjjltNsCPy51N7aVCE0AAAAAionN+27Zgqb9b8SpwF6SzVe2oOmyed9VYrVdDkITAAAAgGJj875btoq/SGX65210qyJb2SGyVVxXagOTRGgCAAAAUMxsbgGylemat6H8V7KVeUI2t7IlX9RlIDQBAAAAcInStkpeQQhNAAAAAGCB0AQAAAAAFghNAAAAAGCB0AQAAAAAFghNAAAAAGCB0AQAAAAAFghNAAAAAGCB0AQAAAAAFghNAAAAAGCB0AQAAAAAFghNAAAAAGCB0AQAAAAAFghNAAAAyNfMmTNls9nyPGbOnClJOnv2rMLCwnTgwIECj9GmTRuzP3ClIjQBAAAgXz169FB8fLz5OHz4sCpUqKDmzZvrzJkzat++vWVg+vLLL/X999+XXMFAMSE0AQAAIF9eXl4KDAw0H7NmzdLDDz+smjVrqlu3burWrVuB+547d04DBw5UnTp1SrBioHh4uLoAAAAAlH7p6emaMGGCNm/eLEmaOnWqatasqX79+uXbf+DAgercubPS0tJKsEqgeDDSBAAAgEuaM2eOIiIiVKNGDUlSzZo1C+z7008/6ccff9T7779fQtUBxYvQBAAAgEuaPHmynn/++Uv2S09PV+/evTVp0iQFBASUQGVA8SM0AQAAwNJff/2lv/76Sy1atLhk33fffVfh4eFq165dCVQGlAyuaQIAAIClBQsWqH379vL09Lxk3zlz5uj06dMKDAyUJKWmpmrBggXasmWLJk6cWMyVAsWD0AQAAABLK1euVK9evQrVd926dcrKyjKfv/LKK4qIiFDPnj2LqTqg+BGaAAAAUKC0tDRt3rxZU6dOLVT/qlWrOj339/dXhQoVVKFCheIoDygRhCYAAAAUyNfXV3a7vcB2wzAs9585c2YRVwSUPBaCAAAAAAALhCYAAAAAsEBoAgAAAAALhCYAAAAAsEBoAgAAAAALrJ4HAACAv8UwDKVmJynDkS4vNx/5uZeVzWZzdVlAkSM0AQAA4LKkZacoOv4nbTzznc5lnDC3B3tV0u0VHtStQffJ172MCysEihahCQAAAIW2Jylacw6OUYYj772bzmWc1LfHPtPqE3PUo/og3VD2VhdUCBQ9rmkCAABAoexJitbn+99TpsMuyfjf40I52zIddn2+/z3tSYou+SKBYkBoAgAAwCWlZadozsExkgwZecKSM+N/4WnOwTFKy04pkfqA4kRoAgAAwCVFx/+kDIf9koEplyFDGQ67ouN/Lt7CgBJAaAIAAIAlwzC08cx3yjsd79I2nvlWhnH5+wGlCaEJAAAAllKzk5xWySs8Q+cyTigtO7nIawJKEqEJAAAAljIc6f9of7sjrYgqAVyD0AQAAABLXm4+/2h/bzffIqoEcA1CEwAAACz5uZdVsFclSbbL3NOmYK9K8nX3L46ygBJDaAIAAIAlm82m2ys8+Lf2vb1CO9lslxu2gNKF0AQAAIBLujXoPnm5ectWyNEmm2zycvPWrUH3FmtdQEkgNAEAAOCSfN3LqEf1QcqJQ9bBKafdph7VX5Wve5kSqQ8oToQmAAAAFMoNZW/Vk2FD5OnmbdHLJk83bz0ZNlQ3lL2lpEoDipWHqwsAAADAleOGsrfq1ZumadOZFfrh5ByntkDP63RnxQ5qHHSvfBhhwlWEkSYAAABcFl/3MmpavmWe7X1qj9YdFdoRmHDVITQBAACgSLBKHq5WhCYAAAAAsEBoAgAAAAALhCYAAAAAsEBoAgAAAAALhKZS6OzZs/r111915swZV5cCAAAAXPMITSVg8ODB6tChg/k8MjJSNpvNfNSuXdtsmzdvnmrXrq2+ffuqWrVqmjdvnitKBgAAAPA/3Ny2mMXExGjixImKjo42t23fvl3ffvut7rjjDkmSu7u7JOn8+fOKjIzUunXr1KBBA82ePVuvvfaaunXr5pLaAQAAABCaipVhGOrdu7f69eunWrVqSZKysrIUExOj5s2by9/f36l/UlKSoqKi1KBBA0nSzTffrPj4+BKvGwAAAMD/Y3peMZo2bZp27NihsLAwLV++XJmZmfrtt99kGIZuueUW+fr6qk2bNjp06JAkKTQ0VI899pgkKTMzU2PHjtXDDz/sylMAAAAArnmEpmKSnJysoUOH6oYbbtCRI0c0btw4NW/eXHFxcapfv77mzp2r2NhYeXp6qnfv3k777ty5UyEhIVq1apWioqJccwIArigXXzt5oTZt2mjmzJnm89mzZ6tatWry9/dXixYtdODAgZIpEgCAKxShqZgsXrxYKSkpWrNmjd58802tWrVK58+fV0pKijZt2qTw8HCFhYXp448/1qpVq5SYmGju26hRI/3444+qX7++evXq5cKzAHAlyL12Mr8vWb788kt9//335vO9e/dqyJAhWrp0qWJjY1W9enX17Nmz5IoFAOAKRGgqJkeOHFGzZs0UHBwsSfLw8FCjRo20f/9+p36BgYFyOBw6fvy4uc1ms+nWW2/VzJkztWzZMq5rAlCg/K6dzHXu3DkNHDhQderUMbdFR0crIiJCjRs3VrVq1dSrVy/9+eefJV02AABXFEJTMQkNDVVaWprTtoMHD2rKlClasGCBuW3r1q1yc3NTaGio1qxZo0GDBpltHh4563S4ufFrApC//K6dzDVw4EB17txZERER5rZ69eppzZo1io6OVkJCgj755BO1bNnSFaUDAHDFYPW8YtKuXTtFRkZq8uTJat++vRYvXqwdO3bojTfe0JAhQ1SpUiVlZWUpMjJSPXv2lJ+fn+rWratOnTrphhtuUNu2bTV06FC1atVK5cqVc/XpACiFLr52cvbs2Xrvvff0008/aePGjfrxxx8VExOjl156ydynXr16euSRR9S4cWNJUlhYmDZv3uyqUwAA4IrAEEYxCQ4O1sqVKzV79mzdeOONioqK0rx58/TWW2/pkUceUceOHdWzZ0+1atVK//nPfyRJlStX1sKFCxUVFaX69esrNTVVs2fPdvGZACitCrp2curUqerdu7cmTZqkgIAAp302bdqkb775Rps3b1ZSUpK6d++uBx98UIZhuOgsAAAo/RhpKkYRERHasGFDnu2jRo3SqFGj8t2ndevWio2NLe7SAFwFCrp28vjx4woPD1e7du3y7DN//nx169ZNTZs2lSSNGDFCkydP1s6dO3XLLbeUZPkAAFwxCE0AcIUq6NrJBQsWqEyZMgoMDJQkpaamasGCBdqyZYvc3d2dFpdJSkpSSkqKsrOzS7J0AACuKIQmALhCFXTt5Lp161S1alWz3yuvvKKIiAj17NlTP/zwg5566imNHz9eISEhmj59ukJCQtSoUSMXngkAAKUboQkArlC5104OHDhQAwYMUKVKlTRv3jzdddddTv38/f1VoUIFVahQQV27dtXu3bsVFRWl48ePq0GDBlq8eLE8PT1ddBYAAJR+hCYAuIIVdO3khWbOnGn+t81m07BhwzRs2LBirgwAgKsHq+cBAAAAgAVGmlzEMAwlnk1SWnK6fP19FFC+rGw2m6vLAgAAAHARQlMJSz6folWf/6xlH6/Qsb0nze2Va4Wo44tt1erJe+UfWMaFFQIAAAC4ENPzStDW73eoe2hvTR7wuY7vO+XUdnzfKU0e8Lm6h/bW1u93uKZAAAAAAHkQmkrI1u93aGj7UbKnZcgwDBmG4dSeu82elqGh7UcRnAD8Y4ZhKD4lTUfjExSfkpbn7w4AACgcpueVgOTzKXrnkbE5wchh/aHFcBiSm/TOI2M19/AUpuoBuGyJaela9t9YffnrDh0+l2BuDw0up8fuuEUdG9dTgK+PCysEAODKwkhTCVj1+c+yp2ZcMjDlMhyG7KkZWj1rbTFXBuBqs/7PA7p/9HS9v3ytjlwQmCTpyLkEvb98re4fPV3r/zzgmgIBALgCEZqKmWEYWvbxChm6/GkxSz/6juk0AApt/Z8H1GfmUqVnZsqQ8vzVyd2WnpmpPjOXEpwAACgkQlMxSzyblLNK3mVmH8MwdGzvSSWdSy6ewgBcVRLT0tXvy+UyZOhS37UYhmTIUL8vlysxLb1kCgQA4ApGaCpmacn/7ANJalJaEVUC4Gq27L+xSs/IvGRgymUYUnpGpr7+b1zxFgYAwFWA0FTMfP3/2cXWfmV9i6gSAFcrwzD05a87/ta+X/wazTRgAAAugdBUzALKl1XlWiGy2WyXtZ/NZlPlWiEqG+xfTJUBuFqcT03X4XMJl33lpCHp8LkEJaQyRQ8AACuEpmJms9nU8cW2f2vfTpEPXnbYAnDtSc3I+Ef7p/zD/QEAuNoRmkpAqyfvlbefl2xuhQtANjebvP281PKJe4q5MgBXAz8vr3+0f5l/uD8AAFc7QlMJ8A8so7e+ekU2m+2SwcnmZpPNZtOwRYO4sS2AQgn081FocDld7ri0TTk3vC3nx41uAQCwQmgqIeGtb9GI5a/L27fgb3RtNpu8fb303rdv6LZWN5dgdQCuZDabTY/dccvf2vfxO25lGjAAAJdAaCpB4a1v0dzDU9RrRPc8bSE1KqrP+J6ad2QKgQnAZevYuJ58vDxV2PzjZpN8vDz1UOObircwAACuAoSmEuYfWEYPPvtAnu0fbRqlzi89qDLlmJIH4PIF+Poo6rH2ssl2yeCU027ThMc6KMCXqXkAAFwKoamUYHYMgH/qrhtraFLPTvLx9Cywj02Sj6enJvfsrDtvrF5yxQEAcAXzcHUBAICic9eNNbRm8DOat3GnJqz+1amtcmBZPXlXE3VsUk9lfbxdVCEAAFceRpoA4CoT4OujR5o2zLN93gvd9fidtxKYAAC4TIQmALhGsEoeAAB/D6EJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAADAAqEJAAAAACwQmgAAAADAQqkJTYMHD1aHDh3M5zExMQoPD1dQUJAGDRokwzAK1QYAAAAARalUhKaYmBhNnDhRUVFRkiS73a4OHTqoSZMm2rZtm2JjYzVz5sxLtgEAAABAUXN5aDIMQ71791a/fv1Uq1YtSdKKFSuUkJCgcePGqVatWho5cqRmzJhxybb82O12JSYmOj0AAAAAoLBcHpqmTZumHTt2KCwsTMuXL1dmZqZ27typiIgI+fn5SZIaNWqk2NhYSbJsy8+oUaNUrlw58xEaGlr8JwUAAADgquHS0JScnKyhQ4fqhhtu0JEjRzRu3Dg1b95ciYmJCgsLM/vZbDa5u7srPj7esi0/r7/+uhISEszH4cOHi/28AAAAAFw9XBqaFi9erJSUFK1Zs0ZvvvmmVq1apfPnz+vTTz+Vt7e3U18fHx+lpqbKw8OjwLb8eHt7KyAgwOkBAAAAAIXl0tB05MgRNWvWTMHBwZIkDw8PNWrUSOnp6Tp9+rRT36SkJHl5eSk4OLjANgAAAAAoai4NTaGhoUpLS3PadvDgQX344YfatGmTue3AgQOy2+0KDg5WeHh4gW0AAAAAUNRcGpratWunuLg4TZ48WUeOHNF//vMf7dixQ61atVJCQoJmzZolSRo9erRatGghd3d3NW/evMA2AAAAAChqHq588eDgYK1cuVIDBw7UgAEDVKlSJc2bN0+1a9fW1KlT1aNHDw0aNEjZ2dlau3ZtTsEeHgW2AQAAAEBRc2lokqSIiAht2LAhz/ZOnTppz5492rZtm+644w5VrFixUG0AAAAAUJRcHpqsVKlSRVWqVLnsNgAAAAAoKi6/uS0AAAAAlGaEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCrgJnz57Vr7/+qjNnzri6FAAAgKsOoQkoRSIjI2Wz2cxH7dq1JUnLli1TzZo15eHhoWbNmikuLs7cZ968eapdu7b69u2ratWqad68ea4qHwAA4KpEaAJKke3bt+vbb79VfHy84uPjFR0drb1796pXr14aPXq0jh49qurVq+uZZ56RJJ0/f16RkZFat26doqOjNWXKFL322msuPgsAAICri4erCwCQIysrSzExMWrevLn8/f3N7WvXrtXIkSP16KOPSpL69OmjNm3aSJKSkpIUFRWlBg0aSJJuvvlmxcfHl3zxAAAAVzFCE1BK/PbbbzIMQ7fccouOHj2qe+65R1OnTlX79u2d+u3evducthcaGqrHHntMkpSZmamxY8fq4YcfLvHaAQAArmZMzwNKibi4ONWvX19z585VbGysPD091bt3b6c+GRkZGjt2rF544QWn7Tt37lRISIhWrVqlqKioEqwaAADg6kdoAkqJxx57TJs2bVJ4eLjCwsL08ccfa9WqVUpMTDT7DB06VP7+/nruueec9m3UqJF+/PFH1a9fX7169Srp0gEAAK5qTM8DSqnAwEA5HA4dP35cAQEBWr16tSZPnqxNmzbJ09PTqa/NZtOtt96qmTNnqnr16oqPj1dQUJCLKgcAALi6MNIElBIDBgzQggULzOdbt26Vm5ubQkNDtW/fPj322GOaNGmS6tWrZ/ZZs2aNBg0aZD738Mj5HsTNjf/XBgAAKCqMNAGlxC233KIhQ4aoUqVKysrKUmRkpHr27Cmbzab27durU6dO6tixo5KTkyVJZcqUUd26ddWpUyfdcMMNatu2rYYOHapWrVqpXLlyLj4bAACAqwdfRwOlxBNPPKFHHnlEHTt2VM+ePdWqVSv95z//0ffff6+4uDhNmzZNZcuWNR8HDx5U5cqVtXDhQkVFRal+/fpKTU3V7NmzXX0qAAAAVxVGmoBSZNSoURo1apTTtk6dOskwjAL3ad26tWJjY4u7NAAAgGsWI00AAAAAYIHQBAAAAAAWCE0AAAAAYIHQBAAAAAAWCE0AAAAAYIHV84ArhGEYSkxMU1pahnx9vRQQ4CubzebqsgAAAK56hCaglEtOTtf3q3ZpybLtOnbsvLm9cuVAde7YRK1bNZS/v4/rCgQAALjKMT0PKMW2bt2nR7t/oomTf9Tx4+ed2o4fP6+Jk3/Uo90/0dat+1xTIAAAwDWA0ASUUlu37tPrQxfKbs+UYUgX3982d5vdnqnXhy4kOAEAABQTQhNQCiUnp2vYO0tkGEaesHSxnPBkaNg7S5ScnF4yBQIAAFxDCE1AKfT9ql3mCFNh5I44rVodU7yFAQAAXIMITUApYxiGlizbXujAdKHFS7fJ+Ds7AgAAoECEJqCUSUxMc1olr7AMQzp27LwSk5iiBwAAUJQITUApk5aW8c/2T7UXUSUAAACQCE1AqePr6/XP9vfzLqJKAAAAIBGagFInIMBXlSsHyma7vP1stpwb3gaU5Ua3AAAARYnQBJQyNptNnTs2+Vv7PtzpNtkuN20BAADAEqEJKIVat2oob2/PQo822Ww2eXt7qlXLBsVbGAAAwDWI0ASUQv7+Phr+VmfZbLZLBiebLecxfNjD8vdnah4AAEBRIzQBpVR4eE2NGvEveXt7FtjHZpO8vT016r1HFX5bWAlWBwAAcO3wcHUBAAoWHl5TC+b21bKv/6sZn/3i1BYSEqB/dWmqVq0ayL8MI0wAAADFhZEmoJTz9/dRuwdvybN94kdP6uHOtxGYAAAAihmhCbhCsUoeAABAySA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWPhbocnhcGj9+vWWfZKSkv5WQQAAAABQmvyt0JSVlaXWrVtb9gkNDf1bBQEAAABAaeJRmE779u2Th4eH3N3dlZGRoQoVKqhMmTI6evSo9u7dKw8PD2VlZalWrVoaN26c3nvvPQUGBhZz6QAAAABQ/AoVmu68806dOnXKfD537lwFBQXp22+/1fPPPy+bzSZJmjZtmpYuXar3339fvr6+xVMxAAAAAJSgQk3PCwkJ0blz51S7dm19/PHHMgxDbm45u3722WeqWbOmPv30UxmGIW9vb3l4FCqLAQAAAECpV6jQ5ObmpnLlysnNzU1lypTJ026z2czRJgAAAAC4mrDkOAAAAABY+Nvz6HJHlubPn6+zZ89q/vz5cjgcOn36tF599VUlJycXWZEAAAAA4Cr/+OKjpKQkZWVlKTExUYZhKCsrS6dPn5bD4SiK+gAAAADApf729DzDMCRJzzzzjK677jo9++yz6tWrl66//np99tlnCggIKLIiAQAAAMBVuKYJAAAAACwUSWhi5TwAAAAAV6tChaYTJ07Iy8tLu3fv1tNPPy1JyszMlGEYioyM1L59+xQZGWluT0lJKb6KAQAAAKAEFWohiGXLlsnNzU1ubm7KyMhQrVq19OKLL+qBBx7QtGnT5OXlJbvdrvDwcM2dO1cpKSmy2+3FXTsAAAAAFLtChabw8HCn55mZmUpNTVXt2rVVu3Ztp7YffvhBknTu3LkiKhEAAAAAXOdvXdNkGIb69+9v2ee///3v3yoIAAAAAEqTQo002e12jR8/XgMHDpSnp6cyMzP19NNP6+jRo/kuAuHm5qaaNWsWebEAAAAAUNIKFZr++9//auTIkZo2bZrGjh0rh8OhRx991HKfFi1a6Pvvvy+SIgEAAADAVQo1Pe/222/XwYMH1blzZ8XGxkqS2rRpo3379qlNmzaaOXOm9u7dK09PT/31119aunSpfvjhByUmJhZr8QAAAABQ3C450uRwOGQYhoKCgjR27FhJ0qJFi1SmTBlVr15dfn5+CgkJUY0aNeTm5qawsDBVrlxZw4YNk6enZ7GfAAAAAAAUp0uONC1cuFCenp5yd3c3HwVNzTMMQ5Lk7e2tt956S76+vkVbLQAAAACUsEuONLVo0UKbN2+Wj4+P3NxyMtbq1av166+/5umb36IQAAAAAHAlu2RoKl++vMqXLy+73a4RI0aoTZs2Cg0N1enTp/XLL7/ozJkz2rVrl3x8fORwOLRu3TpzxKl58+bFfgIAAAAAUJwKtXpebGysOnXqpMTERDVs2FCenp7avn27OnfuLDc3N8XExEiSypYtq4cffljZ2dmy2+1KSUkp1uIBAAAAoLgVKjRdf/316tChg95++22VLVtWktS5c+diLQwAAAAASoNCLTkeFBSk0aNHa8yYMYqPj5fD4dChQ4ckSYcOHdJ9991n9v3555/lcDiKp1oAAAAAKGGFCk253nvvPaWkpOjMmTMKCwtTenq6srOztW3bNknS+fPn9eyzz2r06NHFUiwAAAAAlLRCTc+LjIzUK6+8IsMw5OHhIR8fHxmGoU8//VTnzp2TJE2cOFGS1LJlSw0fPlx33XUXC0EAAAAAuOJdMjTt379fCxYs0Oeff24uKZ679PjChQtlt9uVkZGhhQsXmvtUqlRJY8aMITQBAAAAuOJdMjSFhYXpwIEDmjRpkkaPHq0OHTooKipKUs79mo4ePaqbb75ZP/30k7lPVlaWsrOzi61oAAAAACgphbqmydfXVwMGDNCuXbsUEBCg/v37KzExUR4eHvL29tYjjzzi1D93OwAAAABc6Qp1TVOukJAQff/99zp27Jj8/f0l5UzFmz59erEUBwAAAACudlmr50k5o0jVqlUrjloAAAAAoNS57NAEAAAAANcSQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAIAFQhMAAAAAWCA0AQAAAICFUhOa2rRpo5kzZ0qSYmJiFB4erqCgIA0aNEiGYZj9rNoAAAAAoKiVitD05Zdf6vvvv5ck2e12dejQQU2aNNG2bdsUGxtrhimrNgAAAAAoDi4PTefOndPAgQNVp04dSdKKFSuUkJCgcePGqVatWho5cqRmzJhxybaC2O12JSYmOj0AAAAAoLBcHpoGDhyozp07KyIiQpK0c+dORUREyM/PT5LUqFEjxcbGXrKtIKNGjVK5cuXMR2hoaDGeDQAAAICrjUtD008//aQff/xR77//vrktMTFRYWFh5nObzSZ3d3fFx8dbthXk9ddfV0JCgvk4fPhw8ZwMAAAAgKuSh6teOD09Xb1799akSZMUEBDw/wV5eMjb29upr4+Pj1JTUy3bgoKC8n0db2/vPPsAAAAAQGG5bKTp3XffVXh4uNq1a+e0PTg4WKdPn3balpSUJC8vL8s2AAAAACgOLhtpmjNnjk6fPq3AwEBJUmpqqhYsWKAaNWooMzPT7HfgwAHZ7XYFBwcrPDxc06dPz7cNAAAAAIqDy0aa1q1bp5iYGO3YsUM7duzQQw89pHfeeUe//PKLEhISNGvWLEnS6NGj1aJFC7m7u6t58+YFtgEAAABAcXDZSFPVqlWdnvv7+6tChQqqUKGCpk6dqh49emjQoEHKzs7W2rVrJeVc71RQGwAAAAAUB5eFpotdeJPaTp06ac+ePdq2bZvuuOMOVaxYsVBtAAAAAFDUSk1ouliVKlVUpUqVy24DAAAAgKLk8pvbAgAAAEBpRmgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACwQGgCAAAAAAuEJgAAAACw4PLQtGzZMtWsWVMeHh5q1qyZ4uLiJEkxMTEKDw9XUFCQBg0aJMMwzH2s2gAAAACgKLk0NO3du1e9evXS6NGjdfToUVWvXl3PPPOM7Ha7OnTooCZNmmjbtm2KjY3VzJkzJcmyDQAAAACKmktDU1xcnEaOHKlHH31UISEh6tOnj7Zt26YVK1YoISFB48aNU61atTRy5EjNmDFDkizb8mO325WYmOj0AAAAAIDC8nDli7dv397p+e7du1W7dm3t3LlTERER8vPzkyQ1atRIsbGxkmTZlp9Ro0Zp+PDhxXQGAAAAAK52Lr+mKVdGRobGjh2rF154QYmJiQoLCzPbbDab3N3dFR8fb9mWn9dff10JCQnm4/Dhw8V+LgAAAACuHqUmNA0dOlT+/v567rnn5OHhIW9vb6d2Hx8fpaamWrblx9vbWwEBAU4PAAAAACisUhGaVq9ercmTJ2vOnDny9PRUcHCwTp8+7dQnKSlJXl5elm0AAAAAUNRcHpr27dunxx57TJMmTVK9evUkSeHh4dq0aZPZ58CBA7Lb7QoODrZsAwAAAICi5tLQlJaWpvbt26tTp07q2LGjkpOTlZycrLvvvlsJCQmaNWuWJGn06NFq0aKF3N3d1bx58wLbAAAAAKCouXT1vO+//15xcXGKi4vTtGnTzO379+/X1KlT1aNHDw0aNEjZ2dlau3atJMnDw6PANgAAAAAoai4NTZ06dZJhGPm21ahRQ3v27NG2bdt0xx13qGLFik77FdQGAAAAAEXJpaHpUqpUqaIqVapcdhsAAAAAFBWXLwQBAAAAAKUZoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMACoQkAAAAALBCaAAAAAMDCFRuaYmJiFB4erqCgIA0aNEiGYbi6JAAAAABXoSsyNNntdnXo0EFNmjTRtm3bFBsbq5kzZ7q6LAAAAABXIQ9XF/B3rFixQgkJCRo3bpz8/Pw0cuRI9e3bV7169crT1263y263m88TEhIkSYmJiSVW78USkxKVZWTm2ebmbXNRRSjtEhNTlZWVftG2RLm5ZbmoIpR2icmpyrbnfc94OHjPIH9J6SlypDq/Z5ISE+WZke2iilDapWQlyp580eeZxERle/B5BvkzHIkykpz/pth8EmVzc10kyc0El5q1ZjOuwHltw4cP1+bNm/Xdd99JyjnJ8uXL69y5c3n6vv322xo+fHhJlwgAAADgCnH48GFVrVq1wPYrcqQpMTFRYWFh5nObzSZ3d3fFx8crKCjIqe/rr7+uAQMGmM8dDofOnTun8uXLy2Zz7TchiYmJCg0N1eHDhxUQEODSWnBl4D2Dy8V7BpeL9wwuF+8ZXK7S9J4xDENJSUmqXLmyZb8rMjR5eHjI29vbaZuPj49SU1PzhCZvb+88fQMDA4u7xMsSEBDg8jcMriy8Z3C5eM/gcvGeweXiPYPLVVreM+XKlbtknytyIYjg4GCdPn3aaVtSUpK8vLxcVBEAAACAq9UVGZrCw8O1adMm8/mBAwdkt9sVHBzswqoAAAAAXI2uyNDUvHlzJSQkaNasWZKk0aNHq0WLFnJ3d3dxZZfH29tbw4YNyzN9ECgI7xlcLt4zuFy8Z3C5eM/gcl2J75krcvU8SVq6dKl69OihsmXLKjs7W2vXrlX9+vVdXRYAAACAq8wVG5ok6ejRo9q2bZvuuOMOVaxY0dXlAAAAALgKXdGhCQAAAACK2xW55DhwtTAMQxkZGYWa03s5fXFtycrKkpRzO4aLZWZmytPTM999Nm7cqIiIiHzbcW04fvy4Tp8+rUaNGhXYx+FwKDs7u8D3SUZGhjw8POTmdkVeJo0ilp2dfcVdY45/7p98nlm4cKGysrIKvH+qw+GQv7+/HnrooSKt+XLxF66U+P7775Wdne3qMlDCjh07pqCgIJUvX14VKlRQhQoVzBsvX7gtd/vNN98sSXrmmWcUGhqqunXrKiIiwjzec889p6+//lqxsbF64IEHXHVaKEaHDx+Wm5ubGjRooGrVqqlmzZqaOHGiatSokedRrVo1VaxYUQkJCcrMzHQ6jsPhUNeuXfXtt986bc/OzlZGRkZJnhKK2U8//aR58+aZj19++cVsmzRpknr16mW5/8aNG9WgQQPVr19f1113nUJCQhQcHKyqVauqfv36atiwobZu3Vrcp4EStnbtWt1xxx15tv/0009O/+5cbNKkSXrggQfML3PuuOMOTZw40WxPT08v+mLhcn/384wkHTx4UAcOHDAfY8aM0cqVK83n+/bt0+HDh114djmYnlcKxMXF6fbbb1dsbOwl70aMq190dLQ6d+6sAwcOFNgnMjJSzZo107333qvHHntM7dq10xdffKETJ04oMDBQ3t7eOnTokGrVqqWGDRvq888/L7kTQLE6deqUqlWrpvT0dI0cOVJnzpzRuHHjLPc5duyY2rZtK09Pz3xHo+x2u7y9vWUYhjIzM3XrrbdqxowZxXUKKGEtWrRQ+fLlFRYWpiVLlqhXr14aPHiwJCk+Pl6DBg3S+PHjVbZsWUnSjBkzNGDAAAUFBenEiROKiYlR7dq1JUlvv/22PDw8dOTIEUVERKhnz56uOi0Ukz///FNz585V69atNXjwYPXu3Vtnz57VjBkzZBiG7Ha7jhw5ojp16ig9PV1dunTR8OHDJUnnzp1T3bp19f7775th/J577lHv3r3Vo0cPzZo1S2+88YY2bNig6tWru/I0UQIK83nm3nvv1ZkzZ5y2HT16VAEBAebfpFwPPvigPvjgg+IotVCYnlcKfPTRRxo6dKgZmP71r39p3bp18vLyUnp6uvz8/JSamqru3btrwoQJLq4WxW3FihXq0qWLZZ8Lpz7YbDb1799fAwcOVL9+/dS9e3dVqlRJL730kr755ps8Iwy4sl14E+9Vq1bpjTfekCTVrVtXaWlpTv/I/P777zp37pwqV66snTt36ptvvlHz5s316quvKjk5We3atZPdbtcHH3yg/v3766GHHtLu3bvVrFmzEj8vFB9PT0/16tVL999/v6ZPn66//vpL1113nbKysuRwOCRJX331laScqXavvfaaOnfurJkzZ6pGjRr5Bm1cvapVq6Yvv/zSvPfl+PHj9c4772jt2rVKT09XdHS03nnnHS1btkxpaWkKCQmRlDPlt2vXrjp9+rTT6KXNZlN0dLQ+/fRTpaena9asWQSma0RhPs/s3btXP/74o2JjYyVJDRs21LvvvqtHHnlEXl5eSk1Nlaenp5KSkvTdd9+VRNkF4i9hEatVq5bOnDlT4Nxvu92uJk2a6Oeff5aUc2Pen3/+WVFRUdq1a5eGDx+uhQsXymaz6Y8//lCbNm0sEzqufLt371br1q3N52fOnJGPj48WLVrk1K9s2bLatWuX+fy3334z/9vhcOj222+XlDOVJld4eLgWLlyosLCw4iofLhIfH6/t27fr7rvvlpQTpsaOHav27dubfWw2m9P88hdeeEEbN27UBx98oPHjx+uFF16Qp6en7rrrLoWHh2v37t2KjIzUli1bSvx8UHxyv2T55ptv1LBhQ02fPl2SVKNGDa1fv15Vq1Y1+9rtdn311Vfav3+/uc3Dw0Nz5sxRYmKitm3bJnd3d8XHxystLU3p6eny9fXVk08+WbInhWLj4+OjqVOnat++fbLb7Wrbtq3atGmjL774QgsXLlRSUpL+/PNP9e7dW2lpafroo49UuXJldevWTcnJyeZxUlNTtWzZMv3555+Kj4/XqFGj9OCDD7rwzFDc/s7nmb59+8rLy8v8XBwUFGT227Rpk86dOydfX1/16NGjwGueSgqhqYh5e3tr0aJFatGiRb7tM2fO1Jdffikp59qB559/XuPHj5eXl5fef/99hYWFufxNgZJlGIaysrJ05MgR/fDDD5o+fbrmzZsnSapatar++usvnThxQrfddpvTfr/99pvOnTsnKeeb5AMHDuQZ4o6IiOBauavUkSNH5OfnZ143UL16dQ0ePNicdiVJ9evXd/r9u7u7KyMjQ927d1d4eLj+/PNPBQYG6rPPPtNrr72mgQMHcjH/VWzWrFl66qmnLPt4e3vnexH/sGHD9NBDD8lut8vHx0fZ2dnKzMzUnj17NHfuXELTVWTz5s3q1q2bDMNQQkKC9u/fr/Lly8swDPOL3CNHjqhly5ZyOBz65ptvdPvtt+vcuXOaPXu2brjhBhmGoXbt2qlixYoKCAjQ66+/bgYmwzAUHR2txo0bu/hMUdT+zueZwYMHa+rUqVq/fr0kKSAgQDfeeKOCg4O1bds2HTt2TJJ05513qmvXriV/UhcgNBWxC6fOFCT3H6SFCxdq1apViomJUXp6uvz9/fX7778Xd4koZQo79eXifo8//rjuvfdePf7443Jzc1NCQkKeYPXHH38UWZ0oXRo2bKgnn3xS77zzjsaMGaNvvvnmkvvY7XY9+OCD8vDw0KFDh/J8+/f0008rICCguEqGi4WGhmrHjh3697//LUlKTk5Wo0aNzKCclpZmfsBZvHix1q9fr6NHj0rK+bete/fuSk1NVf369RUTE6OIiAg1aNDAnNqHq0PTpk119OhRtW7dWllZWVq9erUOHz6stWvXysPDQw0bNlTDhg0l5cxysNvtuvHGG7Vu3TqdOnVKUs6H5x9//FFubm66//77nUYut23bpqZNm2rv3r2qWbOmS84RxePvfp557rnnVK5cOXXu3FleXl7mlzILFixw6mcYhksHFghNLtSxY0fFxcWpZs2aatasmT744AOVKVPG1WXBxVauXKkGDRpIkk6ePFlgv+PHj2vv3r2ScpaV9vb21uOPP+7UJyoqipXQrmL9+/fXTTfdpPj4eC1fvlwVKlQw23KXGv/999+VmpoqX19fHT9+3Gw/dOiQ2rZtqw0bNigwMNAF1aOkjRkzRvXq1VPv3r1Vo0YNJSQkKCkpST4+PpJypuvVqlVLv/32mx5++GHzmiZJ5geVdevW6ZFHHlFMTIzS0tKc2nB1sNls2rVrl7lKXrNmzTR//nwdOXJEU6ZMUaVKlcy+u3bt0u+//25OqcrMzFStWrVkt9vl6+urkSNHKiIiQhMmTNCHH34oSXJzc1Pv3r0JTNeAwnyeSU9Pl5eXl/r27asHH3xQ2dnZmjhxosaNG6fQ0FCzX1xcnDZs2GAezxUITS7k6+urOnXqaPjw4brzzjsLnNKHa0ubNm2chrPzk5qaqnXr1unIkSOSckYvc+cDT5gwQdddd526d++uu+66i+uZrlInT57Ujz/+qOzsbHl7e6tfv36qWrWqtm7dqieeeEIvvfSSfvrpJ3l7e8vT01O9e/fWhg0bzP3j4+N1/vx53XXXXXmO/dJLL+m5554rydNBCfD19dVDDz2k5cuXq2XLlqpRo4YZmBwOh44dO6YaNWo4XS95oXnz5un06dO6++67FRcXp6FDh+rGG28syVNACRk8eLAef/xxHTx4UL1799Yzzzyjdu3aKTw83OmalSFDhsjLy0uZmZkyDENVqlTRX3/9ZbZ/8skn+umnnzRy5EhzW3Z2tux2e4meD1yjMJ9nWrdurT/++ENnz55VvXr1dNNNN6lTp05q2LChOnXqZPabMGGCy+9TyeR1F5s2bZrGjRunmjVrKjIy0pw2gWtX7jczDRo0KPCbmaNHjyoyMlKDBg2SJD311FN69tln9fzzz2vlypVatGiRnn/+eT333HNq27ZtSZaPEvLbb79pzpw5Wrx4sbnwzBtvvKElS5aodevW+vPPPzVmzBiz/4kTJzR27FjFxMRo5MiRCgkJ0enTpxUTE6NXX31VM2bMUExMjLp162ZOscHV4/z58xo2bJi+/vpr1ahRQ3PmzFGrVq3M9hMnTigoKEh+fn4yDEO//fabRowYoYSEBHOFvRtvvFHTpk2Tl5eXXnzxRZ09e1YfffSRq04JxeTrr79Wenq6evfuLUl64okn9M0338jNzU3ly5dX7dq1zYenp6fc3Nw0ZcoU+fj45HkcO3ZMDRs2zLP9uuuuc/FZoiQU5vPM2rVrzc++o0aN0vvvvy83Nzf5+vo63dvJ09PT5aPajDS5kGEY+vDDD1W/fn3t3btX9erV48JIXPKbGYfDoa1bt6phw4bmIgBTpkyRu7u79u7dq1atWqlPnz7atm2b5syZw0IQV5ncD7AtW7ZUy5YtJUnLly+XJO3Zs0czZszQli1b9Omnn8put2vo0KGS/n8K1bJly/TII4/orbfe0qeffqpTp05p9erV2rdvn3bs2FHyJ4QSERgYaC76ERoaql69ejmtkrhv3z5zGeiLRwFyb1vQuHHjPNdN4urz0EMPqUWLFk4jjgEBAXI4HFq5cqXT34n4+HhJOStzvvjii3mOVaVKFa1du9a8z1cu/l26NhRmpCkmJkZLlixRcHCwHA6HnnnmGT3zzDNas2aNoqOjzX5WlyuUFEKTC9lsNsXExJgXxBmGoa1btyo7Ozvf1YtwdXI4HDpx4oRq166ttLQ0JSYmmv/AnDhxwlwBLfc+1CtWrFClSpVkt9s1YcIEeXp6ysvLS8uWLdPAgQM1ffp0PfDAA+rcubM6dOigqKgo1a1b15WniCKU3zVquUHK29tbNptNbm5uiomJ0bhx48znuX2qVq2qTp06yTAMVahQQbfddpuef/55rV69WvHx8UpMTOQap6tM7pcr/fv319mzZ3XffffpxRdfVJ06dbR8+XIdOHBAX375pdNUzaZNm2ro0KFyOBwKCAhQdna2HnrooTyLHWVkZHAfp6tQ7ohj7r87Us7fmRdffNFcoTM7O1tVq1Y1/8bkxzAM82/PhfiMc3W63M8zx48fV5cuXTRq1ChFRkaqe/fuat++vebPn68+ffpo9OjR5rFLwyUs/KUrYpmZmerSpYvlfZoiIiIk5fwx2bNnjzZu3Kiff/5Zq1atkp+fnzZv3qzy5cs77Zedna309HQWirgKZWVlqVKlSk7zwC924MAB3XrrrZJy3mNvvPGG/P39dfjwYY0YMUIffPCBvvjiC82dO1dNmzaVJC1atEjDhg3TY489po0bNxZqZUeUfvndrNjPz89c9a5Pnz7q06ePjhw5ou+++04vvvii3NzczIv2mzRpooULF+Y5xpNPPql69eopPj5ec+bMKd6TQIm68D0zZcoU1ahRQ++8846k/782rkOHDurXr58kqWfPnurZs6ck6a233pKUE46+/vrrPCNN27Ztc7o3GK4eaWlpTl/S5C4uk/vfN9xwgypVqmTe3DY/mZmZXL90DbnczzNeXl4aMGCAHn30UT333HNKS0tTcHCw0tPTNWPGDHMWRe5+rl7YymZc+DUC/rHatWtr8uTJlvdp+uyzz7R27VrFx8erWrVquv3229WpUye1adNGktSoUSPzG+Nc2dnZcnNz09mzZ0vkPHBlcTgccjgc+X7j63A4uPcOCoX3yrXh78xmSExMVJkyZRghuIZkZ2crIyNDvr6++bbb7XaXX5gPlCRCk4slJSWpbNmyri4DAAAAQAEITQAAAABggXkYAAAAAGCB0AQAAAAAFghNAAAAAGCB0AQAuOoMHTpUn376qavLAABcJQhNAIArVkpKSr73rrr++us1YMAAxcfHO23Pzs5WSkqKUlNTnba/8847stlslo8FCxYU67kAAEovbm4LALhitWvXTmvXri2wPTg4ON/tffv21ccff2w+DwwMVHh4uBYvXpxv/9tvv5170gDANYzQBAC4Yi1btkzu7u5yd3fXjz/+qMGDB2vp0qWqWrWqJMkwDLVp00aPPvqonn76aWVlZSkjI0Oenp5Ox/H09JSXl5e538VyXwMAcG1ieh4A4IpVrlw5+fv7y9fXV23bttVtt92mN998Uz4+PvLx8dHGjRu1ZcsWtW3bVj4+PvL391dwcHCem4pnZWVd8rUcDkdxnQYAoJRjpAkAcEV74okn9N1330nKuWbJzc1NFSpUkCSlpaUpKytLTZs2Nfv/5z//UY8ePZyOkZCQoA0bNshmsxX4Ona7vRiqBwBcCQhNAIArWkZGhh555BFNnjxZkpSeni4fHx9JUmJiovz9/eXmljOxolKlSvke46WXXlLPnj0tX6d8+fJFVzQA4IpCaAIAXNE8PJz/Kevdu7f8/Pw0adIk9ezZU1lZWZo7d67KlCkjSWaAulBAQIACAgJKpF4AwJWHa5oAAFeNzz//XF988YXatWsnSRoyZIi2b9+u+++/XwkJCXn633DDDfkuL37u3DnNnz8/37Z69eqV9GkBAFyM0AQAuCosX75czz77rN566y21b99ektSkSRP9+uuvOnnypD788MM8+3h7e+uDDz5QXFyc4uLi9MMPP0jKWWDC29tblStXNtvi4uI0cuRIlh4HgGsQ0/MAAFeFlJQUvfrqqxoxYoRGjhwpm80mwzCUkZGhXbt2qW7dupo6darTPu7u7rr++utVt25dSZKPj49sNpu5xLinp6fZJuXcNJelxwHg2sNIEwDgqtC1a1eNGDFCPj4++vHHH5Wenm7e+PbGG2/Mc+2TJMvV8qzaAADXFkaaAABXlfT0dD3wwAPmSFPuNi8vrzx9DcPQ8ePH9ccff0iSjh49KsMwZLfbZRiGMjMzzTZJOn78eMmcBACgVCE0AQCuKpmZmfluzw1DF8rOztarr76qV1991Wl7enq6srOzdezYMd10001ObbfcckuR1gsAKP2YngcAuKIVFJIuNGzYMN122206f/68ufS4lHOPp9mzZ8swDBmGoYMHD6pcuXKy2+3KyMhQ9erVzTbDMLRw4ULzxrkAgGuHzciduwAAwBWoc+fOCgkJMW9um58PP/xQb7zxhh599FFNnTpVvr6+JVghAOBKR2gCAFz1EhMT5enpSVgCAPwthCYAAAAAsMA1TQAAAABggdAEAAAAABYITQAAAABggdAEAAAAABYITQAAAABggdAEAAAAABYITQAAAABggdAEAAAAABb+DxyLX0WlDjmfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "products = ['口红', '面膜', '隔离', '防晒', '精华', '面霜']\n",
    "sales = [653, 523, 648, 856, 714, 785]\n",
    "\n",
    "colors = plt.cm.viridis(np.linspace(0, 1, len(sales)))\n",
    "\n",
    "plt.figure(figsize=(10, 8))\n",
    "\n",
    "# 绘制棒棒糖图\n",
    "for i in range(len(products)):\n",
    "    plt.scatter([products[i]], [sales[i]], color=colors[i], s=100)  # 棒棒糖顶部\n",
    "    plt.plot([products[i], products[i]], [0, sales[i]], color=colors[i], linewidth=3)  # 棒棒糖棒\n",
    "\n",
    "# 添加每个棒棒糖顶部的销量值\n",
    "for i in range(len(products)):\n",
    "    plt.text(products[i], sales[i] + 20, str(sales[i]), ha='center', va='bottom')\n",
    "\n",
    "# 添加标签\n",
    "plt.title('商品销量渐变图', fontsize=16)\n",
    "plt.xlabel('商品', fontsize=12)\n",
    "plt.ylabel('销量', fontsize=12)\n",
    "\n",
    "# 设置 y 轴范围\n",
    "plt.ylim(0, max(sales) + 100)\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10585b90",
   "metadata": {},
   "source": [
    "标注柱形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "83605d3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94b10084",
   "metadata": {},
   "source": [
    "层叠柱形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "d200b1f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# 数据\n",
    "quarters = ['2021Q1', '2021Q2', '2021Q3', '2021Q4', '2022Q1', '2022Q2']\n",
    "sales = [3121, 4086, 4321, 4601, 4936, 4231]\n",
    "profits = [1020, 1421, 1502, 1623, 1781, 1432]\n",
    "\n",
    "# 设置图形大小\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "# 设置每个柱子的宽度\n",
    "bar_width = 0.4\n",
    "\n",
    "# 设置柱子的 x 位置\n",
    "x = np.arange(len(quarters))\n",
    "\n",
    "# 绘制销售额柱子\n",
    "plt.bar(x, sales, width=bar_width, label='销售额', color='skyblue', align='center')\n",
    "\n",
    "# 绘制利润额柱子，向右偏移\n",
    "plt.bar(x + bar_width / 2, profits, width=bar_width, label='利润额', color='lightgreen', align='center')\n",
    "\n",
    "# 添加每个柱子顶部的数值\n",
    "for i in range(len(quarters)):\n",
    "    plt.text(i, sales[i] + 100, str(sales[i]), ha='center', va='bottom', fontsize=10)\n",
    "    plt.text(i + bar_width / 2, profits[i] + 100, str(profits[i]), ha='center', va='bottom', fontsize=10)\n",
    "\n",
    "# 添加标签\n",
    "plt.title('季度销售额与利润额堆叠柱状图', fontsize=16)\n",
    "plt.xlabel('季度', fontsize=12)\n",
    "plt.ylabel('金额 (单位: 万元)', fontsize=12)\n",
    "plt.xticks(x + bar_width / 4, quarters)  # 调整 x 轴刻度\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "# 设置 y 轴范围\n",
    "plt.ylim(0, max(sales) * 1.1)\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  }
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